Digital Platforms for Scholarly Engagement in Astrophysics and Data Science

Explore a collection of resources covering digital platforms, data wrangling, cleaning pipelines, GitHub utilization, and more for scholars in the fields of astrophysics and data science. Enhance your research data lifecycle experience and learn about tools like Open Refine, GitHub, and software/data carpentry.

• Scholarly Engagement
• Data Science
• Astrophysics
• Research Data Lifecycle
• Open Refine

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1. DIGITAL PLATFORMS FOR ALL SCHOLARS C. Erdmann Harvard-Smithsonian Center for Astrophysics @libcce | cerdmann@cfa.harvard.edu

2. From the Programming Historian: Big Data + Old History A. Crymble: https://www.youtube.com/watch?v=tp4y-_VoXdA

3. Training for Librarians Training for Scholars DST4L @ DTU http://podcast.llab.dtu.dk/feeds/dst4l-2015

4. Experience the Research Data Lifecycle Jeffrey Heer Data Wrangler / Trifacta

5. Data Wrangling w/ Open Refine

6. Data Cleaning Pipeline

7. Facet/Filter

8. Advanced Cleaning w/ GREL

9. Extract & Share Operation History

10. Open Refine in the Cloud

11. Recipes & Training Recipes: https://github.com/OpenRefine/OpenRefine/wiki/Recipes Big Data University, Introduction to Open Refine: https://bigdatauniversity.com/courses/introduction-to- openrefine/

12. Software/Data Carpentry

13. GitHub in the Classroom

14. File Versioning

15. GitHub diffs

16. Using pull requests Pull requests let you tell others about changes you've pushed to a repository on GitHub. Once a pull request is sent, interested parties can review the set of changes, discuss potential modifications, and even push follow-up commits if necessary. https://help.github.com/articles/using-pull-requests/

17. Issues Gitter

18. GitHub Pages

19. GitHub Danger Zone

22. Preserve & Cite

24. GitHub Training GitHub Online Classes: https://training.github.com/classes/ Software Carpentry, OReilly, Lynda, etc

26. How to negotiate with publishers: an example of immediate self- archiving despite publisher s embargo policy PANDELIS PERAKAKIS, PHD Academic Website https://pandelisperakakis.wordpress.com/2015/09/09/how-to-negotiate-with- publishers-an-example-of-immediate-self-archiving-despite-publishers-embargo- policy/

27. Jupyter (IPython) Notebooks

28. Interactive notebooks: Sharing the code The free IPython notebook makes data analysis easier to record, understand and reproduce. Helen Shen 05 November 2014 Nature http://www.nature.com/news/interactive-notebooks-sharing-the- code-1.16261

29. Lorena A. Barba group Introducing AeroPython! I decided to develop a set of lessons using IPython Notebooks, to use as the scaffold for interactive class meetings. IPython Notebooks allow me to create media-rich content for the students, embedding executable Python code within it. Google Hangout: https://www.youtube.com/watch?v=HVfLnpoyqxE

30. Render Jupyter & GeoJSON on GitHub

31. Tableau & Plotly

32. On the near horizon

33. Thank you. Questions?